detection of genotype 1 porcine reproductive and respiratory syndrome virus in swine, using one-step real-time pcr for the orf7 gene

detection of genotype 1 porcine reproductive and respiratory syndrome virus in swine, using one-step real-time pcr for the orf7 gene

;Mihaela Zaulet;Vlad Petrovan;Andrada Birladeanu;Cristian Nicu;Ana Stoian;Oana Canareica;Laura Buburuzan
Enzyme and microbial technology 2014 Vol. 47 pp. 116-120
124
zaulet2014scientificdetection

Abstract

Porcine Reproductive and Respiratory Syndrome (PRRS) is the most devastating and economically challenging disease to the swine industry worldwide due to reproductive failure. The main objective of the current study was to evaluate the sensitivity and accuracy of Real-Time RT-PCR method in the detection of PRRS virus and also estimation of the pathogen load in samples with clinical signs. The primers used for the detection of PRRS virus were represented by primers with a specific sequence for the ORF7 gene of the PRRS virus. More important, the primers attachment process was influenced by punctual mutations of the viral strand belonging to the ORF7 gene. 114 samples were tested to identify the presence of PRRS virus, genotype I and 14 of them were found to be positive, using OneStep PCR. Those samples were used to test the specificity of the TaqMan probe and robustness of Real-Time RT-PCR reaction. According to the results, only the samples which presented some specific punctual mutations (4 in total, all from one particular region of Romania) at the genome level of ORF7, were positive, due to primer sequence specificity and complementarity. The Real-Time RT-PCR method has been increasingly adopted by swine producers and veterinarian laboratories as one of the most trustful techniques, combining rapidity, specificity and efficiency for detecting and monitoring the spread of PRRS virus.

Citation

ID: 225074
Ref Key: zaulet2014scientificdetection
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
225074
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet